An expert electrocardiogram quality evaluation algorithm based on signal mobility factors

Journal of Medical Engineering and Technology

Volumn 37, Issue 4, 2013, Pages 282-291

  Naseri, H ^a   Homaeinezhad, M R ^a   Pourkhajeh, H ^a  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Electrocardiogram quality measurement; Electrocardiogram signal concavity; Post evaluation; Signal energy; Signal mobility

Indexed keywords

ELECTROCARDIOGRAM SIGNAL; HIGH FREQUENCY DISTURBANCE; POST EVALUATIONS; PRE-PROCESSING STEP; QUALITY ASSESSMENT; QUALITY EVALUATION; QUALITY MEASUREMENTS; SIGNAL ENERGY;

ALGORITHMS; ELECTROCARDIOGRAPHY; STATISTICAL TESTS;

QUALITY CONTROL;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CARDIOLOGIST; CLASSIFICATION ALGORITHM; CLINICAL ARTICLE; ELECTROCARDIOGRAM; ELECTRODE; HUMAN; QRS COMPLEX; QUALITY CONTROL; REFERENCE DATABASE; SELF EVALUATION; SIGNAL DETECTION; SUPPORT VECTOR MACHINE;

ALGORITHMS; ELECTROCARDIOGRAPHY; HUMANS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84878504353     PISSN: 03091902     EISSN: 1464522X     Source Type: Journal    
DOI: 10.3109/03091902.2013.794868     Document Type: Article

References (27)

1. Silva, I., Moody, G., and Celi, L., 2011, Improving the quality of ECGs collected using mobile phones: The physionet/computing in cardiology challenge. Computers in Cardiology, 38, 273-276
2. Xia, H., Garcia, G.A., Bains, J., Wortham, D.C., and Zhao, X., 2012, Matrix of regularity for improving the quality of ECGs. Physiological measurement, 33, 1535-1548
3. Clifford, G.D., Behar, J., Li, Q., and Rezek, I., 2012, Signal quality indices and data fusion for determining clinical acceptability of electrocardiograms. Physiological measurement, 33, 1419-1433
4. Ho Chee Tat, T., Xiang, C., and Thiam, L.E., 2011, Physionet Challenge 2011: Improving the quality of electrocardiography data collected using real time QRS-Complex and T-Wave Detection. Computers in Cardiology, 38, 441-444
5. Hayn, D., Jammerbund, B., and Schreier, G., 2012, QRS detection based ECG quality assessment. Physiological measurement, 33, 1449-1461
6. Johannesen, L., and Galeotti, L., 2012, Automatic ECG quality scoring methodology: Mimicking human annotators. Physiological measurement, 33, 1479-1489
7. Kalkstein, N., Kinar, Y., Na'aman, M., Neumark, N., and Akiva, P., 2011, Using machine learning to detect problems in ECG data collection. Computers in Cardiology, 38, 437-440
8. Maan, A.C., Zwet, E.W. Van, Man, S., Oliveira-martens, S.M.M., Schalij, M.J., Swenne, C.A., 2011, Assessment of signal quality and electrode placement in ECGs using a Reconstruction Matrix Siemens BV, Den Haag, The Netherlands. Computers in Cardiology, 38, 289-292
9. Zaunseder, S., Huhle, R., and Malberg, H., 2011, CinC Challenge - Assessing the usability of ECG by ensemble decision trees. Computers in Cardiology, 38, 277-280
10. Chudacek, V., Zach, L., Kuzllek, J., Spilka, J., and Lhotsk, L., 2011, Simple scoring system for ECG quality assessment on android platform. Computers in Cardiology, 38, 449-451
11. Moody, B.E., 2011, Rule-based methods for ECG quality control. Computers in Cardiology, 38, 361-363
12. Langley, P., Marco, L.Di., King, S., and Duncan, D., 2100, An algorithm for assessment of quality of ECGs acquired via mobile telephones. Computers in Cardiology, 38, 281-284
13. Naseri, H., and Homaeinezhad, M. R., 2012, Detection and boundary identification of phonocardiogram sounds using an expert frequency-energy based metric. Annals of Biomedical Engineering, 41, 279-292
14. Naseri, H., and Homaeinezhad, M.R., 2012, Computerized quality assessment of phonocardiogram signal measurement-acquisition parameters. Journal of Medical Engineering & Technology, 36, 308-318
15. Ghaffari, A., Homaeinezhad, M.R., Khazraee, M., and Daevaeiha, M.M., 2010, Segmentation of holter ECG waves via analysis of a discrete wavelet-derived multiple skewness-kurtosis based metric. Annals of Biomedical Engineering, 38, 1497-1510
16. Homaeinezhad, M., and Atyabi, S., 2012, ECG arrhythmia recognition via a neuro-SVM-KNN hybrid classifier with virtual QRS image-based geometrical features. Expert Systems with Applications, 39, 2047-2058
17. Kors, J., and van Herpen, G., 2001, Accurate automatic detection of electrode interchange in the electrocardiogram. The American Journal of Cardiology, 88, 396-399
18. Rudiger, A., and Hellermann, J., 2007, Electrocardiographic artifacts due to electrode misplacement and their frequency in different clinical settings. The American Journal of Emergency Medicine, 26, 174-178
19. Castellanos, A., Pastor, J., Zambrano, J., and Myerburg, R., 2002, Left bundle-branch block with technical right-axis deviation. Circulation, 106, 2288-2289
20. Green, J., and Palma, E., 2003, Variable patterns of preexcitation: What is the mechanism? Journal of Cardiovascular Electrophysiology, 14, 435-436
21. Akel, R., and Saeed, M., 2004, Unusual evolution of ST elevation acute myocardial infarction. Annals of Noninvasive Electrocardiology, 9, 410-414
22. Rudiger, A., Scho?b, L., and Follath, F., 2003, Influence of electrode misplacement on the electrocardiographic signs of inferior myocardial ischemia. The American Journal of Emergency Medicine, 21, 574-577
23. Guglin, M., and Thatai, D., 2006, Common errors in computer electrocardiogram interpretation. International Journal of Cardiology, 106, 232-237
24. Ho, K., and Ho, S., 2001, Use of the sinus P wave in diagnosing electrocardiographic limb lead misplacement not involving the right leg (ground) lead. Journal of Electrocardiology, 34, 161-171
25. Zielinski, J., 1976, Negative P wave in lead I due to right atrial enlargement and displacement of the heart in the chest. Pneumonologie, 153, 197-201
26. Batchvarov, V., Malik, M., and Camm, A., 2007, Incorrect electrode cable connection during electrocardiographic recording. Europace, 9, 1081-1090
27. Ghaffari, A., Homaeinezhad, M.R., and Ahmadi, Y., 2010, An open-source applied simulation framework for performance evaluation of QRS complex detectors. Simulation Modelling Practice and Theory, 18, 860-880